ANFIS-based Power Quality Improvement by Photovoltaic Integrated UPQC at Distribution System

Abstract

The advent of power electronic devices for the control of non-linear loads has made an impact on the power quality at the Distribution side of the utility grid. The Distribution side must be compensated for both reactive and real power compensation while simultaneously improving the power quality. Unified Power Quality Conditioner is a FACTS device with back-to-back converters coupled together with a DC link element that improves the power quality at the Distribution side. The DC link element sizing and the converter ratings are the challenges faced during the design of UPQC. The Distributed Energy Resource (DER) integrated at the DC link element, supports for power exchange and minimization of the converter ratings. UPQC integrated with a DER simultaneously improves the fault-ride-through capabilities at the Point of Common Coupling. The PV integrated UPQC with bidirectional series and shunt converters are controlled by a hybrid combination of Unit Vector Template and p-q theory, respectively. The control unit of the proposed system has to be more precise in a closed-loop structure. The conventional mathematical based PI controllers fail to perform well during the transient oscillations for the UPQC system. The proposed PV-UPQC system has been analysed with an Adaptive Neuro-Fuzzy controller that embeds a reinforced learning algorithm. The Fuzzy-Model-Based (FMB) controller improves the performance of the system by inferencing the system parameters through linguistic rules and helps in reference current generation. The PV-UPQC performed significantly well even during various load conditions. The implementation of an Adaptive Neuro-Fuzzy Inference System leads to minimization in the percentage of Total Harmonic Distortion level.

KEYWORDS:

• Active filters
• Artificial neural networks
• Distributed energy resources
• Harmonics
• Photovoltaics
• UPQC

Acknowledgements

The authors thank the Principal and Management of SSN College of Engineering, Chennai and AAA College of Engineering and Technology, Sivakasi for supporting and encouraging them to do this research work. The authors also thank Anna University, Chennai. The authors declare no conflict of interest.

Additional information

Notes on contributors

S.S. Dheeban

S S Dheeban is currently working as an assistant professor in the Department of Electrical and Electronics Engineering at AAA College of Engineering and Technology Sivakasi, India. He has completed his Master of Engineering in power electronics and drives from SSN College of Engineering Chennai, Tamilnadu (2016) and Bachelor of Engineering in electrical and electronics engineering from MEPCO Schlenk Engineering College Sivakasi, Tamilnadu (2014). He is currently pursuing his PhD degree in the field of FACTS devices at SSN College of Engineering Chennai, Tamilnadu. His area of interest includes FACTS devices, renewable energy system and power electronic converters. He has been recognized as a chartered engineer from the IE.

N.B. Muthu Selvan

N B Muthu Selvan is currently working as an associate professor in the Department of EEE at SSN College of Engineering, Chennai. He received his BE (EEE – Distinction) degree and MBA (Finance) degree from Madurai Kamaraj University. He obtained ME degree and PhD degree (2013) in the field of power system Engineering from Anna University, Chennai. His area of interest includes power system optimization, application of power Electronics controllers to power system, renewable energy system. He is a recognized chartered engineer from The Institution of Engineers (India). He is an active reviewer for various international journals and technical book publications. Email: [email protected]